Nesa, the enterprise AI blockchain processing one million inference requests every day through a network of 30,000-plus miners worldwide, has partnered with Billions Network to bring verified identity to every human and AI agent operating on its infrastructure.
The clients running AI on Nesa include P&G, Cisco, Gap, and Royal Caribbean. The AI those companies run has always been private by design. What it has lacked until now is accountability. Billions Network fixes that, at two levels.
The Problem Nesa Was Running Into
Real enterprise AI at scale creates an accountability gap that most infrastructure providers don’t acknowledge openly. When thousands of AI agents are processing requests, making decisions, and interacting with systems across an organization, the question of who is responsible for each agent’s behavior becomes genuinely difficult to answer. The agent ran. Something happened. But who built it, who authorized it, and who is on the hook if something goes wrong?
That question matters more at enterprise scale than it does in small deployments where a single team can track every agent manually. Nesa’s infrastructure runs AI for some of the largest companies on the planet. At one million inference requests per day across 30,000 miners, manual accountability is not a workable approach.
The accountability layer needs to be structural, built into how agents operate rather than added on through documentation and internal processes that can be bypassed or forgotten.
What Billions Network Does
Billions Network is built around two distinct verification problems. The first is human verification. Using a phone and a government ID, with no eye scans or biometric hardware required, Billions verifies that a real, accountable person sits behind every AI agent.
The network has already verified 2.3 million humans worldwide and counts HSBC and Sony Bank among its institutional partners. That track record in high-stakes financial environments matters because it demonstrates the verification process meets standards that regulated institutions have found acceptable.
The second is AI agent verification through the Know Your Agent framework, which Billions calls KYA. Every agent that operates on a KYA-enabled network gets a verified identity that records who built it, who owns it, and who is responsible for its behavior. In an ecosystem where thousands of agents run simultaneously, KYA makes every interaction traceable.
If an agent produces a bad output, makes an unauthorized decision, or interacts with a system it shouldn’t, the accountability chain is recorded from the start rather than being reconstructed after the fact from incomplete logs.
The combination of human verification and agent verification creates a complete picture of accountability across an enterprise AI deployment, something that has been described as necessary for years but rarely implemented at scale.
What the Partnership Produces for Nesa’s Enterprise Clients
Nesa’s AI infrastructure stays private. That privacy is by design and is a feature for enterprise clients who cannot expose proprietary models, training data, or inference outputs to external parties.
The Billions integration doesn’t change that. What it adds is an accountability layer that operates without compromising the privacy properties that enterprise clients depend on.
For companies like P&G and Cisco running production AI through Nesa’s infrastructure, the practical outcome is that every agent operating in their environment now has a verified identity. Internal compliance teams, regulators, and auditors can ask who was responsible for a specific agent’s behavior and get a traceable answer rather than a shrug. That accountability is increasingly not optional.
Regulatory frameworks around AI governance are developing rapidly, and enterprises that cannot demonstrate accountability for their AI deployments are going to face pressure from regulators, boards, and insurers regardless of how well the underlying technology works.
Why Mobile-First Verification Matters at This Scale
Billions Network’s mobile-first approach to human verification is worth noting specifically because it determines how accessible the verification process is at scale.
Verification systems that need special hardware, orbs, or complicated enrollment processes slow everything down and quietly exclude people who can’t access them. Billions sidesteps that entirely. A phone and a government ID. That’s the enrollment process. In an enterprise context, everyone who needs to be verified already has both.
At 2.3 million verified humans already on the network, the infrastructure for that verification is proven rather than theoretical.
Final Words
Nesa’s enterprise AI infrastructure now has an identity layer that covers both the humans authorizing AI agents and the agents themselves. Private AI with verified accountability is a combination that enterprise deployments have needed and mostly lacked.
Billions Network’s KYA framework and human verification infrastructure, already proven at scale with HSBC and Sony Bank, brings that combination to an infrastructure processing one million daily inference requests for some of the world’s largest companies. The standard is set.